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View Code? Open in Web Editor NEW[ICCV 2023] Official implementation of the paper "Less is More: Focus Attention for Efficient DETR"
License: Apache License 2.0
[ICCV 2023] Official implementation of the paper "Less is More: Focus Attention for Efficient DETR"
License: Apache License 2.0
Thanks for your work. When training the focal loss and multi-category score predictor, do you need the foreground and background label (ground truth)
问题一:
d是x,y和边界框box中心点之间的棋盘距离的最大值,
棋盘距离 MAX(|x1-x2|,|y1-y2|),为什么论文解释是 d=max(w/2,h/2)
问题二:
关于rb和re,论文中给出的解释是 第l层特征预测出来的目标之间的间隔,想问一下这个地方是需要先预测出object?那这个间隔是指什么?
后续附录里对比实验给出的间隔 【0,64】,【64,256】。。。。是这里的间隔吗?
这个间隔是设置的超参数的?
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